Quickly Inserting Pegs into Uncertain Holes using Multi-view Images and Deep Network Trained on Synthetic Data-Reference-Cited by-同舟云学术

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Quickly Inserting Pegs into Uncertain Holes using Multi-view Images and Deep Network Trained on Synthetic Data

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Triyonoputro Joshua C.,Wan Weiwei,Harada Kensuke

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8957008/8967518/08968072.pdf?arnumber=8968072

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. EA-CTFVS: An Environment-Agnostic Coarse-to-Fine Visual Servoing Method for Sub-Millimeter-Accurate Assembly;Actuators;2024-08-03

3. A novel framework inspired by human behavior for peg-in-hole assembly;Robotic Intelligence and Automation;2024-07-12

4. ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning;2024 9th International Conference on Control and Robotics Engineering (ICCRE);2024-05-10

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